# Polyp Segmentation on BKAI-IGH-NeoPolyps 13 (test)

Source: [Polyp Segmentation on BKAI-IGH-NeoPolyps 13 (test)](<https://www.sota2.com/research/sota/polyp-segmentation-on-bkai-igh-neopolyps-13-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:29:07.910Z

Evaluation of polyp segmentation performance on the test split of the BKAI-IGH-NeoPolyps 13 dataset, reporting Accuracy, F1-Score, Recall, Precision, and IoU.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Polyp Segmentation |
| Dataset (including any stated split) | BKAI-IGH-NeoPolyps 13 (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/polyp-segmentation-on-bkai-igh-neopolyps-13-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [F1-Score](<https://www.sota2.com/research/sota/polyp-segmentation-on-bkai-igh-neopolyps-13-test.md?metric=F1-Score>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/polyp-segmentation-on-bkai-igh-neopolyps-13-test.md?metric=Recall>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/polyp-segmentation-on-bkai-igh-neopolyps-13-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [mIoU](<https://www.sota2.com/research/sota/polyp-segmentation-on-bkai-igh-neopolyps-13-test.md?metric=mIoU>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| PraNet | 99.18 | Not recorded | 68fa70cd1e209131cea4d3f6 |
| M3FPolySegNet | 98.91 | Not recorded | 68fa70cd1e209131cea4d3f6 |
| CENet | 98.69 | Not recorded | 68fa70cd1e209131cea4d3f6 |
| U-Net++ | 98.61 | Not recorded | 68fa70cd1e209131cea4d3f6 |
| U-Net | 98.42 | Not recorded | 68fa70cd1e209131cea4d3f6 |
| DeepLabV3+ | 98.06 | Not recorded | 68fa70cd1e209131cea4d3f6 |
| ResU-Net | 97.91 | Not recorded | 68fa70cd1e209131cea4d3f6 |
| FCN8s | 96.59 | Not recorded | 68fa70cd1e209131cea4d3f6 |
| SegNet | 95.01 | Not recorded | 68fa70cd1e209131cea4d3f6 |
| ResU-Net++ | 94.76 | Not recorded | 68fa70cd1e209131cea4d3f6 |

### PraNet

Accuracy: 99.18. Result ID: 6991491a3a6c314849070902.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67d21e209131cea18aea.md>)

[Implementation](<https://github.com/DengPingFan/PraNet1>)

Recorded evaluation configuration: {"Parameters":"32.55M"}. This record does not assert independent reproduction.

### M3FPolySegNet

Accuracy: 98.91. Result ID: 6991491a3a6c314849070903.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

Recorded evaluation configuration: {"Parameters":"22.39M"}. This record does not assert independent reproduction.

### CENet

Accuracy: 98.69. Result ID: 6991491a3a6c3148490708ff.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa656b1e209131cea0a412.md>)

[Implementation](<https://github.com/Guzaiwang/CE-Net>)

Recorded evaluation configuration: {"Parameters":"29.00M"}. This record does not assert independent reproduction.

### U-Net++

Accuracy: 98.61. Result ID: 6991491a3a6c3148490708fe.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa649c1e209131cea058a9.md>)

[Implementation](<https://www.sota2.com/github.com/Nested-UNet>)

Recorded evaluation configuration: {"Parameters":"36.63M"}. This record does not assert independent reproduction.

### U-Net

Accuracy: 98.42. Result ID: 6991491a3a6c3148490708fd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61e11e209131ce9f653d.md>)

[Implementation](<http://lmb.informatik.uni-freiburg.de/people/ronneber/u-net>)

Recorded evaluation configuration: {"Parameters":"34.53M"}. This record does not assert independent reproduction.

### DeepLabV3+

Accuracy: 98.06. Result ID: 6991491a3a6c3148490708fb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64b91e209131cea06121.md>)

[Implementation](<https://github.com/tensorflow/models/tree/master/research/deeplab>)

Recorded evaluation configuration: {"Parameters":"59.34M"}. This record does not assert independent reproduction.

### ResU-Net

Accuracy: 97.91. Result ID: 6991491a3a6c314849070900.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa645f1e209131cea041a2.md>)

Recorded evaluation configuration: {"Parameters":"10.81M"}. This record does not assert independent reproduction.

### FCN8s

Accuracy: 96.59. Result ID: 6991491a3a6c3148490708fa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61b81e209131ce9f5b6a.md>)

[Implementation](<https://github.com/BVLC/caffe/wiki/Model-Zoo#fcn>)

Recorded evaluation configuration: {"Parameters":"18.64M"}. This record does not assert independent reproduction.

### SegNet

Accuracy: 95.01. Result ID: 6991491a3a6c3148490708fc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62d51e209131ce9fb761.md>)

[Implementation](<http://mi.eng.cam.ac.uk/projects/segnet/>)

Recorded evaluation configuration: {"Parameters":"16.50M"}. This record does not assert independent reproduction.

### ResU-Net++

Accuracy: 94.76. Result ID: 6991491a3a6c314849070901.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70cd1e209131cea4d3f6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66aa1e209131cea117b6.md>)

Recorded evaluation configuration: {"Parameters":"14.48M"}. This record does not assert independent reproduction.

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